y = zeros(size(x)); z = [0;0]; Implement Data Type Independent Algorithm This is a second-order filter that implements the standard difference equation: |y(n) = b(1)*x(n) + b(2)*x(n-1) + b(3)*x(n-2) - a(2)*y(n-1) - a(3)*y(n-2)| ...
Numerical results have demonstrated that the proposed algorithms are comparable to the state-of-the-art algorithms for recovering sparse signals with different sizes and dynamic ranges in terms of both accuracy and speed. In addition, we also extend the proposed algorithms to solve two harder ...
Floating-point to fixed-point conversion, fixed-point algorithm designTo model fixed-point signal processing algorithms and analyze the effects of quantization on system behavior and performance, you can use the DSP System Toolbox™ and Fixed-Point Designer™ functionality. For a list of DSP Sys...
This example shows how to accelerate fixed-point algorithms using thefiaccelfunction. Code acceleration provides optimizations for accelerating fixed-point algorithms through MEX file generation. Fixed-Point Designer™ provides a convenience functionfiaccelto convert your MATLAB® code to a MEX function...
Fixed-Point Design Floating-point to fixed-point conversion, fixed-point algorithm design To model fixed-point signal processing algorithms and analyze the effects of quantization on system behavior and performance, you can use the DSP System Toolbox™ and Fixed-Point Designer™ functionality. For...
Determinantal point processes (DPPs) offer an elegant tool for encoding probabilities over subsets of a ground set. Discrete DPPs are parametrized by a positive semidefinite matrix (called the DPP kernel), and estimating this kernel is key to learning DP
Pesquet, "Proximal splitting methods in Signal processing," in Fixed-Point Algorithms for Inverse Problems in Science and Engineering, H. ... PL Combettes,JC Pesquet 被引量: 0发表: 2009年 [Springer Optimization and Its Applications] Fixed-Point Algorithms for Inverse Problems in Science and ...
We study inexact fixed-point proximity algorithms for solving a class of sparse regularization problems involving the [Math Processing Error]ℓ0 norm. Specifically, the [Math Processing Error]ℓ0 model has an objective function that is the sum of a convex fidelity term and a Moreau envelope ...
A new class of algorithms for the processing of parametrically defined curves is presented. All the algorithms are based on the 'divide and conquer' (subdi... PA Koparkar,SP Mudur - Computer-Aided Design 被引量: 114发表: 1983年 Tracking Trajectory Planning of Space Manipulator for Capturing ...
Fixed Point Theory and Algorithms for Sciences and Engineering is a peer-reviewed open access journal published under the brand SpringerOpen. In a wide range ...