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Updates found with 'decimation filters'

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Updates found with 'decimation filters'

VLSI PROJECTS ABSTRACT 2016-2017 A HIGH-PERFORMANCE FIR FILTER ARCHITECTURE FOR FIXED AND RE CONFIGURABLE APPLICATIONS ABSTRACT: Transpose form finite-impulse response (FIR) filters are inherently pipelined and support multiple constant multiplications (MCM) technique that results in significant saving of computation. However, transpose form configuration does not directly support the block processing unlike direct-form configuration. In this paper, we explore the possibility of realization of block FIR filter in transpose form configuration for area-delay efficient realization of large order FIR filters for both fixed and reconfigurable applications. Based on a detailed computational analysis of transpose form configuration of FIR filter, we have derived a flow graph for transpose form block FIR filter with optimized register complexity. A generalized block formulation is presented for transpose form FIR filter. We have derived a general multiplier-based architecture for the proposed transpose form block filter for reconfigurable applications. A low-complexity design using the MCM scheme is also presented for the block implementation of fixed FIR filters. The proposed structure involves significantly less area delay product (ADP) and less energy per sample (EPS) than the existing block implementation of direct-form structure for medium or large filter lengths, while for the short-length filters, the block implementation of direct-form FIR structure has less ADP and less EPS than the proposed structure. Application specific integrated circuit synthesis result shows that the proposed structure for block size 4 and filter length 64 involves 42% less ADP and 40% less EPS than the best available FIR filter structure proposed for reconfigurable applications. For the same filter length and the same block size, the proposed structure involves 13% less ADP and 12.8% less EPS than those of the existing direct-form block FIR structure. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2. PROPOSED SYSTEM: In phase 1 to discussed about 16 tap FIR filter for Low pass, High pass, Band pass, and band stop filter and to analysis the performance, efficiency, speed, and power consumption for the respective filter types. Fig.6 shows the block diagram of the proposed system. The NCO used for signal generation with required frequency range. NCO is used in the modulation block. ADVANTAGES:• reduced filter length• less element to used• reduced cycle period DISADVANTAGES• element usage is high• cycle period is highSOFTWARE IMPLEMENTATION• Modelsim• Xilinx 14.2
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VLSI PROJECTS ABSTRACT 2016-2017 A MIXED-DECIMATION MDF ARCHITECTURE FOR RADIX-2K PARALLEL FFT ABSTRACT: This paper presents a mixed-decimation multipath delay feedback (M 2 DF) approach for the radix-2k fast Fourier transform. We employ the principle of folding transformation to derive the proposed architecture, which activates the idle period of arithmetic modules in multipath delay feedback (MDF) architectures by integrating the decimation-in-time operations into the decimation-in-frequency-operated computing units. Furthermore, we compare the proposed design with other efficient schemes, namely, the MDF and the multipath delay com-mutator (MDC) scheme theoretically and experimentally. Relying on the obtained expressions and statistics, it can be concluded that the M2DF design serves as an efficient alternative to the MDF scheme, since it achieves improved efficiency in the utilization of arithmetic resources without deteriorating the superiorities of feedback structures. In addition, the recommended design performs better in memory requirement and computing delay compared with the MDC approach. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2. EXISTING SYSTEM In the serial-input-serial-output (SISO) scenario, single-path delay commutator (SDC) structure is one of the most classical approaches to perform the pipelined FFT computation. To reduce the memory banks in SDC pipelines, single-path delay feedback (SDF) architecture is proposed, which is characterized by the feedback connections in the circuits. These hardware schemes can be combined with the radix-2, radix-4, and especially radix-2k algorithm to execute the DFT operation. Compared with the radix-4 approach, the radix-2k pipeline is equipped with simpler butterfly units while making a better utilization of complex multipliers than the typical radix-2 scheme. Thus, radix-2k algorithm acts as an effective alternative to the conventional computation methods from the perspective of hardware design.PROPOSED SYSTEM: The top-level design is illustrated in Fig. 1. As shown, the parallel processing includes three phases. 1) Phase 1 (Horizontal DFT Processing): During this phase the operator TS acts on P-parallel data streams x0, ..., xP−1 independently to obtain X • TS. The R2kSDF pipelined architecture in series with a bit-reversed reordering unit is a feasible way to implement TS efficiently. 2) Phase 2 (Rotation): The uth (u = 0, ..., S − 1) output of Phase 1 in the vth (v = 0, ..., P − 1) stream is multiplied by the corresponding twiddle factor e−j2πuv/N to calculate D ʘ X • TS. ADVANTAGES:• Computing delay is reduced• Low memory requirement DISADVANTAGES:• Computing delay is high• Large memory required SOFTWARE IMPLEMENTATION:• Modelsim• Xilinx ISE
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VLSI PROJECTS ABSTRACT 2016-2017 A NORMAL I/O ORDER RADIX-2 FFT ARCHITECTURE TO PROCESS TWIN DATA STREAMS FOR MIMO ABSTRACT: Nowadays, many applications require simultaneous computation of multiple independent fast Fourier transform (FFT) operations with their outputs in natural order. Therefore, this brief presents a novel pipelined FFT processor for the FFT computation of two independent data streams. The proposed architecture is based on the multipath delay commutator FFT architecture. It has an N/2-point decimation in time FFT and an N/2-point decimation in frequency FFT to process the odd and even samples of two data streams separately. The main feature of the architecture is that the bit reversal operation is performed by the architecture itself, so the outputs are generated in normal order without any dedicated bit reversal circuit. The bit reversal operation is performed by the shift registers in the FFT architecture by interleaving the data. Therefore, the proposed architecture requires a lower number of registers and has high throughput. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2. EXISTING SYSTEM: There are FFT architectures, which can handle multiple independent data streams. However, all the data streams are processed by a single FFT processor. In four independent data streams are processed one by one. Similarly, eight data streams are processed at two domains. Thus, the outputs of multiple data streams are not available in parallel. In order to simultaneously process the data streams, more than one FFT processors need to be employed. In one to four data streams are processed using multiple data paths for wireless local area network application. Data of different data streams are interleaved to process them simultaneously. In low complexity FFT architectures are proposed but these architectures can process only real-valued signals (signals only with real part). Moreover, they generate two outputs per clock cycle and these outputs are not in natural order. Thus, most of the recent architectures require bit reversal structures to generate the outputs in natural order. PROPOSED SYSTEM: The idea of computing an N-point FFT using two N/2-point FFT operations with additional one stage of butterfly operations is shown in Fig. 1, which is not the exact architecture but provides the methodology. The reordering blocks in Fig. 1 are merely present to state that the N/2 odd samples (x(2n + 1)) are reordered before the N/2-point DIT FFT operation and N/2 even samples (x(2n)) are reordered after the N/2-point DIF FFT operation. In order to compute the N-point DIT FFT from the outputs of two N/2-point FFTs, additional one stage of butterfly operations are performed on the results of the two FFTs. Thus, the outputs generated by additional butterfly stage are in natural order.ADVANTAGES:• throughput high• high performance• reduce the usage of hardware elementDISADVANTAGES:• Performance is low• usage of hardware element is highSOFTWARE IMPLEMENTATION• Modelsim• Xilinx ISE
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IEEE 2016 - 2017 Matlab Image Processing TitlesS.No Project Titles 1. Data-driven Soft Decoding of Compressed Images in Dual Transform-Pixel Domain 2. Double-Tip Arte fact Removal from Atomic Force Microscopy Images 3. Quaternion Collaborative and Sparse Representation With Application to Color Face Recognition 4. Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation 5. Weakly Supervised Fine-Grained Categorization with Part-Based Image Representation 6. Robust Visual Tracking via Convolutional Networks without Training 7. Context-based prediction filtering of impulse noise images 8. Predicting the Forest Fire Using Image Processing 9. A Review Paper on detection of Glaucoma using Retinal Fundus Images 10. Performance Analysis of Filters on Complex Images for Text Extraction through Binarization 11. Automated Malaria Detection from Blood Samples Using Image Processing 12. Learning Invariant Color Features for Person Re-Identification 13. A Diffusion and Clustering-based Approach for Finding Coherent Motions and Understanding Crowd Scenes 14. Automatic Design of Color Filter Arrays in The Frequency Domain 15. Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution 16. Image Segmentation Using Parametric Contours With Free Endpoints 17. CASAIR: Content and Shape-Aware Image Retargeting and Its Applications 18. Texture classification using Dense Micro-block Difference 19. Statistical performance analysis of a fast super-resolution technique using noisy translations 20. Trees Leaves Extraction In Natural Images Based On Image segmentation and generating Its plant details
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VLSI PROJECTS ABSTRACT 2016-2017 A FULLY DIGITAL FRONT-END ARCHITECTURE FOR ECG ACQUISITION SYSTEM WITH 0.5 V SUPPLY ABSTRACT: This paper presents a new power-efficient electrocardiogram acquisition system that uses a fully digital architecture to reduce the power consumption and chip area. The proposed architecture is compatible with digital CMOS technology and is capable of operating with a low supply voltage of 0.5 V. In this architecture, no analog block, e.g., low-noise amplifier (LNA), and filters, and no passive elements, such as ac coupling capacitors, are used. A moving average voltage-to time converter is used, which behaves instead of the LNA and anti-aliasing filter. A digital feedback loop is employed to cancel the impact of the dc offset on the circuit, which eliminates the need for coupling capacitors. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2. EXISTING SYSTEM A digital signal processor then processes the digital data for monitoring or diagnosis applications. Biomedical signal acquisition systems typically consist of a low-noise amplifier (LNA), a bandpass filter, an analog sample-and-hold, and an analog-to-digital converter (ADC), as shown in Fig. 1(a). While the architecture shown in Fig. 1(a) is typically used, in some cases chopping technique is used to reduce the impact of the flicker noise, as shown in Fig. 1(b). PROPOSED SYSTEM: Fig. 3(a) shows the block diagram of the proposed fully digital architecture. In this structure, the processing of the bio-signal is performed in the time and digital domain. Hence, the advantages of digital CMOS technology are utilized. The analog bio-signal coming from the electrode is directly connected to the front-end circuit and is converted to time with a voltage-to-time converter (VTC). From this point on in the circuit, the signal information is in the phase of the VTC output signal. The output of the VTC is applied to the time-mode processing block, in which the anti-aliasing and offset cancellation are done in time domain. Then, a time-to-digital converter (TDC) transfers the time-mode signal into digital domain where other processes (digital filtering, data compression/reduction and so on) are performed. ADVANTAGES:• Compact • Low power consumption DISADVANTAGES:• Power consumption is high• Coverage area is high SOFTWARE IMPLEMENTATION• Modelsim• Xilinx ISE
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