birkcodes

Matlab教程一，包括多项式、曲线拟合、三次样条等。(Matlab Tutorial 1, including polynomials, curve fitting, cubic spline and so on.)

Speech Quantization_Compare SNRs of speech cs5 with mu-law companding and uniform quantization (Speech Quantization_Compare remnants of spee ch cs5 with mu-law companding and uniform quant ization)

变尺度随机共振代码，几年前用过的，喜欢的可以试试。(Stochastic resonance code, you can try a few years ago used.)

matlab code is used the many purpose

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present

GMRES(Generalized minimal residual) Iterative Method. A is a square matrix.

说明：  simulation of reed solomon encoder

this code is in matlab 2009 and can is for bin packing problem with first fit next fit and best fit

MatlaB中关于微分的基本操作。适合于初学者(MatlaB the basics of differential. Suitable for beginners)

This is the demo file for L1 adaptive controller with a simple unknown parameter: dot x(t) = Ax(t) + b(u(t) - heta^ op x(t)) DoSims.m: This script initializes the model parameters, run the simulation L1Model_sec1.mdl:the implementation of L1 adaptive controller. Refer to the following paper for background: C. Cao, N. Hovakimyan, Design and Analysis of a Novel Adaptive Control Architecture with Guaranteed Transient Performance, IEEE Transactions on Automatic Control, vol.53, No.2, pp. 586-591, 2008.