The energy compaction performance of two-channel paraunitary finite impulse response (FIR) filter banks for finitelength signals is investigated. A detailed non-iterative design procedure for boundary filters which are optimal in a weighted mean square error (MSE) sense in the Fourier domain is presented. Simulation results are given for twochannel paraunitary FIR filter banks based on minimump...

Introduction This application note describes the implementation of digital filters in the Atmel AT6000-series FPGAs. Bit-serial digital signal processing is used to construct efficient Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filter macros that can be cascaded to create higher-order functions. We will briefly review the techniques first introduced in the application not...

Filter sharpening is a technique for designing a higher order filter using several identical low-order filters with the same passband and stopband edge frequencies but with smaller passband ripple and larger stopband attenuation. The technique had been applied to linear phase finite impulse response (FIR) filters only. In this paper the method is applied on the elliptic infinite impulse respons...

A digital design filterprogram is presented written in the MATLAB environment. Impulse response time editing is implemented together with various options for spectral domain processing. The filter inputs time-domain impulse response dataand outputs filter coefficients for both FIR and ILR implementations. Comprehensive display options are incorporated, including minimum-phase processing and CDS...

Many problems faced in the engineering world are computationally intensive. Filtering using FIR (Finite Impulse Response) filters is an example to that. This thesis discusses the implementation of a fast, reconfigurable, and scalable FIR (Finite Impulse Response) digital filter. Constant coefficient multipliers and a Fast FIFO implementation are also discussed in connection with the FIR filter....

Low Multipliers and Adders are used to reduce dynamic power consumption of a Digital Finite Impulse Response (FIR) filter. These methods include low power serial multiplier and serial adder, combinational booth multiplier, shift/add multipliers, folding transformation in linear phase architecture and applied to FIR filters to reduce power consumption and Distortion is also reduced. The proposed...

Digital filters can be broadly classified into two groups: recursive (infinite impulse response (IIR)) and non-recursive (finite impulse response (FIR)). An IIR filter can provide a much better performance than the FIR filter having the same number of coefficients. However, IIR filters might have a multi-modal error surface. Therefore, a reliable design method proposed for IIR filters must be b...

Welcome to this Special Issue on Low-Power Digital Filter Design Techniques and Their Applications. Digital filters are essential elements of many signal processing systems and everyday electronics such as radios, cell phones, and biomedical devices. With the ever-increasing popularity of portable devices in communication, medical, and audio/video systems, the computational efficiency and power...

The smooth predictable envelope and quasi-periodicity of impulse response allows for potential ways to design ultralow-complexity FIR filters. By introducing an extrapolated impulse response technique, a first attempt successfully reduced the arithmetic complexity of FIR filter from oðNÞ to oð ffiffiffiffiffiffiffi 2N p Þ comparing with direct form. However, this conventional way may suffer fro...

The uni-modal error surfaces and intrinsic stable behaviors of adaptive finite impulse response (FIR) filters make gradient based algorithms very effective in the design of these filters. Gradient based design methods are well developed for the design of adaptive FIR filters and widely applied to the distinct areas such as noise cancellation, system identification and channel equalization. Howe...