homework1_MLPNN

说明：  微波辐射计的使用,在毫米波的中应用很广,通信领域的使用带来巨大的效益(The use of microwave radiometer, in the millimeter-wave application is very broad, the use of communications has brought huge benefits to)

演化博弈仿真程序，该程序主要用于复制者动态仿真分析。(Evolutionary game simulation program，The program is mainly used for replication dynamic simulation analysis.)

GMSK信号的MATLAB编程，包括高斯滤波器的产生和编码(GMSK signals in MATLAB programming, including the generation and coding of Gaussian filter)

ex5_1 I-型线性相位FIR滤波器 ex5_2 II-型线性相位FIR滤波器 ex5_3 III-型线性相位FIR滤波器 ex5_4 IV-型线性相位FIR滤波器 ex5_5 矩形窗频响 ex5_6 希尔伯特变换器设计－汉宁窗 ex5_7 低通滤波器设计－汉明窗 ex5_8 带通滤波器设计－布莱克曼窗 ex5_9 低通滤波器设计－凯塞窗 ex5_11 频率采样技术：低通，朴素法 ex5_12 频率采样技术：低通, 最优法T1 & T2 ex5_13 频率采样技术：带通, 最优法T1 & T2 ex5_14 频率采样技术：高通, 最优法T1 ex5_15 频率采样技术：差分器 ex5_16 频率采样技术： 希尔伯特变换器 ex5_17 利用Parks-McClella算法设计低通滤波器 ex5_18 用PM算法进行的带通滤波器设计 ex5_19 用PM算法进行的高通滤波器设计 ex5_20 用PM算法进行的阶梯滤波器设计 ex5_21 用PM算法进行的差分器设计 ex5_22 用PM算法进行的希尔伯特变换器设计(ex5_1 I-type linear phase FIR filter ex5_2 II-type linear phase FIR filter ex5_3 III-type linear phase FIR filter ex5_4 IV-type linear phase FIR filter rectangular window frequency response ex5_5 Hilbert ex5_6 converter design- Hanning window low-pass filter design ex5_7- Hamming window ex5_8 bandpass filter design- Blackman window ex5_9 low-pass filter design- Kaiser window ex5_11 sampling frequency: low-pass, a simple method ex5_12 sampling frequency: low-pass, optimal method T1 & T2 sampling frequency ex5_13: band-pass, optimal method T1 & T2 ex5_14 sampling frequency: high-pass, optimal method T1 sampling frequency ex5_15: differentiator sampling frequency ex5_16: Hilbert converter Parks-McClella use ex5_17 algorithm design low-pass filter PM algorithm ex5_18 with the band-pass filter design PM algorithm ex5_19 with the high-pass filter design PM algorithm used ex5_20 ladder filter design PM algorithm used ex5_21 differential design PM al)

In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequal costs. This scenario occurs in many real-world applications. For example, in some disease diagnosis, the cost of erroneously diagnosing a patient as healthy is much higher than that of diagnosing a healthy person as a patient. Also, the acquisition of labeled data requires medical diagnosis which is expensive, while the collection of unlabeled data such as basic health information is much cheaper

Simpson integration method(1/3)

Listerature survey on Content based image reteival techs

该界面可以用来分析控制系统在时域，频域和使用状态空间分析技术。它还提供了在采用极点配置的方法设计一个二阶系统的状态空间设计额外的特征。(This GUI can be used to analze control systems in time domain, in frequency domain and using using state space analysis techniques. It also provides an additonal feature of designing a second order system in state space design using pole placement approach. )

说明：  《最小一乘回归系数估计及其MATLAB实现》2007 王福昌 胡顺田 张艳芳(The Coefficient Estimation of Least Absolute Deviation Regression and Implementation in M ATLAB)

This Code SimulTION PSO BASIC CODE IN MATLAB IS CODE IS VWRY USEFUL FOR UNDERESTAND PSO HOW WORK