YALL1_Group_20120223

all imange processing operation on image operations

MATLAB中的SVM源码，用于回归预测，需要的可以下载下看看(The SVM MATLAB source code for regression forecasting, need can be downloaded below to see the exhibitions)

将信号映射到小波域，根据噪声和噪声的小波系数在不同尺度上具有不同的性质和机理，对含噪信号的小波系数进行处理。实质是减少剔除噪声产生的小波系数，最大限度的保留真实信号的系数。 (Will be mapped to the signal wavelet domain, according to noise and noise of wavelet coefficients in different scales with different properties and mechanism of signal with noise of wavelet coefficients for processing.Essence is to reduce the noise out of wavelet coefficients, the maximum keep the coefficient of true signals. )

混沌时间序列多步自适应预测方法，非常有用，采用自适应算法，比局部算法要准确(chaos time series prediction)

设计一个一位二进制数大小比较器。比较两个一位二进制数A和B的大小，电路有三个输出端Y1，Y2和Y3，分别对应A大于B，A等于B，A小于B。当条件满足时，相应输出端为1，否则为0。（A，B用两个脉冲源代替），建立仿真模型并保存。(Design a one binary magnitude comparator. A size comparison of two binary numbers A and B, the circuit has three outputs Y1, Y2 and Y3, respectively, corresponding to the A greater than B, A is equal to B, A less than B. When the conditions are met, the corresponding output is 1, and 0 otherwise. (A, B instead of the source with two pulses), and save the simulation model.)

我们学校自己编的数字信号处理实验指导书，很经典哦(Our school their series of digital signal processing experiment instructions, very classic Oh)

粒子群算法阵列优化，对阵列方向图的综合，实现低副瓣阵列方向图(Particle swarm optimization (PSO) algorithm for array pattern synthesis to achieve low sidelobe array pattern)

说明：  本例程是离散粒子群算法的实现实例，里面标记了一些不懂的地方，希望能与大家交流(This routine is the implementation of discrete particle swarm optimization example.)

matlab的函数大全，按字母排序分类，是初学者的最佳选择。(matlab a function of Guinness, in alphabetical order classification, is the best choice for beginners.)

应用DSP集成开发环境CCS，并用TMS320VC5416开发板来实现FIR数字滤波。旨在熟悉FIR和IIR滤波器的原理及设计流程，学习使用MATLAB设计数字滤波器，熟悉CCS软件使用方法，并了解DSP集成开发环境的使用和特点。(Application of DSP integrated development environment CCS, and with the development board to achieve TMS320VC5416 FIR digital filter. FIR and IIR filters designed to be familiar with the principles and design process, learning to use the MATLAB digital filter design, familiar with CCS software to use and understand the use and characteristics of DSP integrated development environment.)