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EasyEnsemble
- EasyEnsemble and BalanceCascade are two class-imbalance learning methods. They can adaptively exploit the majority class examples, avoiding important majority class examples to be ignored by common under-sampling while maintaining the fast training s
libsvm-2.88.rar
- LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。,LIBSVM is林智仁Taiwan Univ
LMS-AR
- 本程序利用自适应LMS算法实现FIR最佳维纳滤波器。可用于观察影响自适应LMS算法收敛性，收敛速度以及失调量的各种因素-This procedure using adaptive LMS algorithm is optimal FIR Wiener filter. Can be used to observe the impact of adaptive LMS algorithm convergence, convergence speed and the amount of imbalan
Carrier_Frequency_Offset_Estimation_and_IQ_Imbala
- This an article with an algoritmn about two types of radio-frequency front-end imperfections, that is, carrier frequency offset and the inphase/quadrature (I/Q) imbalance are considered for orthogonal frequency divisionmultiplexing (OFDM) communica
DigitalRadio
- Project related to digital signal process and I/q imbalance related codings with BPSK modulation techniques
ADifferentiallyCoherentDelay-LockedLoopforSpread-S
- 详细讲述了直接序列扩频差分锁相环的文章，包含具体的算法结构，并附有仿真结果。-A novel differentially coherent delay-locked loop(DCDLL) for accurate code tracking is proposed for direct sequence spread spectrum systems. Due to the use of the differential decoder and exactly one correlato
ColorBalance
- 一幅彩色图像数字化后，在显示时颜色经常看起来有些不正常。这是色通道的不同敏感度，增光因子和偏移量造成的，称为三基色不平衡。这个校正过程称为彩色平衡。-After a digital color image in the display color always looks somewhat normal. This is a different color channel sensitivity factor and credit to offset caused by the imbalanc
EasyEnsemble
- EasyEnsemble和BalanceCascade是两类不平衡数据集的学习方法-EasyEnsemble and BalanceCascade are two class-imbalance learning methods. They can adaptively exploit the majority class examples, avoiding important majority class examples to be ignored by common under-samp
iq_imbalance
- gram schmidt algorithm to compensate i and q channel imbalance in noisy channel
power_svc_1tcr3tsc
- 针对交交变频器 除产生5、7、11、13次谐波外，还产生旁频，谐波内容多的主要特点，进行了 滤波器装置方案选择，确定滤波器形式，并对滤波器参数进行了工程设计计算。 TCR+FC型Svc通过采用单独的相一相控制能调节三相电源的容抗和感抗来 补偿轧机系统的不平衡，从而降低35KV供电电网的损耗。-In addition to produce5,7,11,13 harmonic, also produced by frequency, harmonic content of m
AVLTree
- LL 型调整 RR 型调整 LR 型调整 RL 型调整 AVL树的查找和插入算法-LL type adjustment for the current node to a minimum unbalanced subtree LR, RR type adjustment for the current node to a minimum unbalanced subtree on the smallest imbalance for the current node to a subtree
SMOTEBoost
- 分类非平衡数据的SMOTEboost算法-This code implements SMOTEBoost. SMOTEBoost is an algorithm to handle class imbalance problem in data with discrete class labels. It uses a combination of SMOTE and the standard boosting procedure AdaBoost to better model t
Bootstrap
- Bootstrap重采样技术的代码，适合处理基准数据集不平衡的情况！-Bootstrap resampling technology code, suitable for handling data sets imbalance!
script_transmit_iq_imbalance
- scr ipt to simulate IQ imbalance using Scilab (free alternative to Matlab)
BalancedforksortTree-
- 二叉平衡排序树，能够实现不平衡调整，代码简单，格式清晰。作为课程设计已通过老师考核，可放心使用-Balanced binary sort tree imbalance adjustment, the code is simple, clear format. As curriculum design, teacher assessment, ease of use
pattern-recogniton
- 对类别不平衡的分类问题的几种算法实现，包括PNN，smote，BP-AdaBoost-Several algorithms for class imbalance classification problem ,including PNN, smote and BP-AdaBoost
TPS09
- Power electronics plays an important role in controlling the grid-connected renewable energy sources. This paper presents a novel adaptive neuro-fuzzy control approach for the renewable interfacing inverter. The main objective is to achieve s
SpatialMultiplexing_2nT_64QAM_IQ
- It is SM algorithm code which exists IQ imbalance. You can modify IQ imbalance parameter, channel model and modulation.
avail4
- 电池串联实例仿真，电池不平衡实例，充电放电仿真-The simulation series battery, battery imbalance instance
SVM_classifier
- SVM算法训练的分类器，对数据进行分类。包含训练和测试数据集，解决分类不平衡问题。-SVM classifier training algorithm, data classification. Comprising training and test data sets to solve classification imbalance.