搜索资源列表
lwr
- Lacoally weighted Regression source code
pcirw
- quartusII环境下实现FPGA与PCI9054通信。根据PCI9054规范控制lhold、lholda、ads、blast、lbe、lwr等握手信号的时序，可完成上位机通过PCI总线读写FPGA本地地址空间的功能- Communication between FPGA and PCI9054 in QuartusII IDE.Implementation for the timing of handshake signals such as lhold, lholda, ads,bla
lwr
- 强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程 -Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
PipelineCPU
- 用Verilog HDL语言或VHDL语言来编写，实现多周期CPU设计。能够完成以下二十二条指令。（均不考虑虚拟地址和Cache，并且默认为大端方式）： add rd, rs, rt addu rd, rs, rt addi rt, rs, imm addiu rt, rs, imm sub rd, rs, rt subu rd, rs, rt nor rd, rs, rt xori rt, rs, imm clo clz slt rd, rs, rt
mulitcpu
- 用verilog HDL语言或者VHDL语言来编写，实现多时钟周期CPU的设计。能够完成以下二十二条指定（均不考虑虚拟地址和Cache，并且默认为小端方式）： add rd, rs, rt addu rd, rs, rt addi rt, rs, imm addiu rt, rs, imm sub rd, rs, rt subu rd, rs, rt nor rd, rs, rt xori rt, rs, imm clo clz slt rd, rs,
Locally-Weighted-Regression
- Locally weighted regression (LWR) is a memory-based method that performs a regression around a point of interest using only training data that are ``local to that point. One recent study demonstrated that LWR was suitable for real-time control by con
UCBerkeley_LWR_solver
- UC Berkeley提供的求解LWR宏观交通流模型的matlab工具箱-LWR resolver developed by UC Berkeley to resolve LWR traffic equations