问答

为什么波特率时钟满足产生高电平的条件，却一直是0呢？

输出显示的无符号10进制数只有0和最大值，但波形却不是方波

各位前辈，使用 Diamond 的时候，加入Reveal文件后，编译综合就报错，这是什么原因呢？[img]data:image/png;base64,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[/img]

[color=#333333][backcolor=rgb(255, 255, 255)][font="]{前导码：使用7字节0x55，[/font][/backcolor][/color][color=#333333][backcolor=rgb(255, 255, 255)][font="]一串1、0间隔[/font][/backcolor][/color][color=#333333][backcolor=rgb(255, 255, 255)][font="]} ,. 但是前导码[/font][/backcolor][/color][color=#333333][backcolor=rgb(255, 255, 255)][font=-apple-system, "][size=16px]每个字节内容都是：10101010,换成16进制是AA不是55，这是为什么。[/size][/font][/backcolor][/color][color=#333333][backcolor=rgb(255, 255, 255)][font="]{帧起始定界符：1字节0xD5(10101011) } ，D5不应该是11010101吗，为什么是10101011.[/font][/backcolor][/color] {}内容引用网上的解释。有没有大佬解答一下.

[i=s] 本帖最后由 awbl 于 2023-8-27 13:33 编辑 [/i] 在学习FIR的过程中遇到了仿真问题，大家帮忙看一下。1、modelsim版本：modelsim-Altera 10.3d 2、quartus版本 ：Quartus II 15.0 (64-bit) 3、主程序fir.v:[list=1] [*] module fir( [*] clk , [*] rst_n , [*] key , [*] dac_mode , [*] dac_sleep , [*] dac_clka , [*] dac_dat_a , [*] dac_wra , [*] dac_clkb , [*] dac_dat_b , [*] dac_wrb [*]); [*] [*]input clk ; [*]input rst_n ; [*]input [7:0] key ; [*]output dac_mode ; [*]output dac_sleep ; [*]output dac_clka ; [*]output [7:0] dac_dat_a ; [*]output dac_wra ; [*]output dac_clkb ; [*]output [7:0] dac_dat_b ; [*]output dac_wrb ; [*] [*]//信号类型定义。 [*]reg [7:0] sin_data ; [*]reg [31:0] cnt1 ; [*]wire add_cnt1 ; [*]wire end_cnt1 ; [*]wire [16:0] addr_temp ; [*]wire [6:0] addr ; [*]reg [12:0] x ; [*]reg [7:0] dac_dat_a ; [*]wire dac_sleep ; [*]wire dac_mode ; [*]wire dac_clka ; [*]reg [1:0] cnt0 ; [*]wire add_cnt0 ; [*]wire end_cnt0 ; [*]wire [7:0] fir_dout ; [*]wire fir_dout_vld; [*]reg [7:0] dac_dat_b ; [*]wire dac_clkb ; [*]wire dac_wrb ; [*]wire [7:0] fir_din ; [*]wire [7:0] fir_dout2 ; [*]//设计正弦信号。 [*]always @(*) begin [*] case(addr) [*]0: sin_data = 8'h7F; [*]1: sin_data = 8'h85; [*]2: sin_data = 8'h8C; [*]3: sin_data = 8'h92; [*]4: sin_data = 8'h98; [*]5: sin_data = 8'h9E; [*]6: sin_data = 8'hA4; [*]7: sin_data = 8'hAA; [*]8: sin_data = 8'hB0; [*]9: sin_data = 8'hB6; [*]10: sin_data = 8'hBC; [*]11: sin_data = 8'hC1; [*]12: sin_data = 8'hC6; [*]13: sin_data = 8'hCB; [*]14: sin_data = 8'hD0; [*]15: sin_data = 8'hD5; [*]16: sin_data = 8'hDA; [*]17: sin_data = 8'hDE; [*]18: sin_data = 8'hE2; [*]19: sin_data = 8'hE6; [*]20: sin_data = 8'hEA; [*]21: sin_data = 8'hED; [*]22: sin_data = 8'hF0; [*]23: sin_data = 8'hF3; [*]24: sin_data = 8'hF5; [*]25: sin_data = 8'hF7; [*]26: sin_data = 8'hF9; [*]27: sin_data = 8'hFB; [*]28: sin_data = 8'hFC; [*]29: sin_data = 8'hFD; [*]30: sin_data = 8'hFE; [*]31: sin_data = 8'hFE; [*]32: sin_data = 8'hFE; [*]33: sin_data = 8'hFE; [*]34: sin_data = 8'hFE; [*]35: sin_data = 8'hFD; [*]36: sin_data = 8'hFC; [*]37: sin_data = 8'hFA; [*]38: sin_data = 8'hF8; [*]39: sin_data = 8'hF6; [*]40: sin_data = 8'hF4; [*]41: sin_data = 8'hF1; [*]42: sin_data = 8'hEF; [*]43: sin_data = 8'hEB; [*]44: sin_data = 8'hE8; [*]45: sin_data = 8'hE4; [*]46: sin_data = 8'hE0; [*]47: sin_data = 8'hDC; [*]48: sin_data = 8'hD8; [*]49: sin_data = 8'hD3; [*]50: sin_data = 8'hCE; [*]51: sin_data = 8'hC9; [*]52: sin_data = 8'hC4; [*]53: sin_data = 8'hBE; [*]54: sin_data = 8'hB9; [*]55: sin_data = 8'hB3; [*]56: sin_data = 8'hAD; [*]57: sin_data = 8'hA7; [*]58: sin_data = 8'hA1; [*]59: sin_data = 8'h9B; [*]60: sin_data = 8'h95; [*]61: sin_data = 8'h8F; [*]62: sin_data = 8'h89; [*]63: sin_data = 8'h82; [*]64: sin_data = 8'h7D; [*]65: sin_data = 8'h77; [*]66: sin_data = 8'h70; [*]67: sin_data = 8'h6A; [*]68: sin_data = 8'h64; [*]69: sin_data = 8'h5E; [*]70: sin_data = 8'h58; [*]71: sin_data = 8'h52; [*]72: sin_data = 8'h4C; [*]73: sin_data = 8'h46; [*]74: sin_data = 8'h41; [*]75: sin_data = 8'h3C; [*]76: sin_data = 8'h36; [*]77: sin_data = 8'h31; [*]78: sin_data = 8'h2C; [*]79: sin_data = 8'h28; [*]80: sin_data = 8'h23; [*]81: sin_data = 8'h1F; [*]82: sin_data = 8'h1B; [*]83: sin_data = 8'h17; [*]84: sin_data = 8'h14; [*]85: sin_data = 8'h11; [*]86: sin_data = 8'hE ; [*]87: sin_data = 8'hB ; [*]88: sin_data = 8'h9 ; [*]89: sin_data = 8'h7 ; [*]90: sin_data = 8'h5 ; [*]91: sin_data = 8'h3 ; [*]92: sin_data = 8'h2 ; [*]93: sin_data = 8'h1 ; [*]94: sin_data = 8'h1 ; [*]95: sin_data = 8'h1 ; [*]96: sin_data = 8'h1 ; [*]97: sin_data = 8'h1 ; [*]98: sin_data = 8'h2 ; [*]99: sin_data = 8'h3 ; [*]100: sin_data = 8'h4 ; [*]101: sin_data = 8'h6 ; [*]102: sin_data = 8'h7 ; [*]103: sin_data = 8'hA ; [*]104: sin_data = 8'hC ; [*]105: sin_data = 8'hF ; [*]106: sin_data = 8'h12; [*]107: sin_data = 8'h15; [*]108: sin_data = 8'h19; [*]109: sin_data = 8'h1D; [*]110: sin_data = 8'h21; [*]111: sin_data = 8'h25; [*]112: sin_data = 8'h2A; [*]113: sin_data = 8'h2E; [*]114: sin_data = 8'h33; [*]115: sin_data = 8'h38; [*]116: sin_data = 8'h3E; [*]117: sin_data = 8'h43; [*]118: sin_data = 8'h49; [*]119: sin_data = 8'h4E; [*]120: sin_data = 8'h54; [*]121: sin_data = 8'h5A; [*]122: sin_data = 8'h60; [*]123: sin_data = 8'h67; [*]124: sin_data = 8'h6D; [*]125: sin_data = 8'h73; [*]126: sin_data = 8'h79; [*]127: sin_data = 8'h7F; [*] endcase [*]end [*] [*]always @(posedge clk or negedge rst_n)begin [*] if(!rst_n)begin [*] cnt1 <= 0; [*] end [*] else if(add_cnt1)begin [*] if(end_cnt1) [*] cnt1 <= 0; [*] else [*] cnt1 <= cnt1 + 1; [*] end [*]end [*] [*]assign add_cnt1 = 1 ; [*]assign end_cnt1 = 0 ; [*] [*] [*]always @(*) begin [*] if(key == 0)begin [*] x = 262 ; [*] end [*] else if(key == 1)begin [*] x = 524 ; [*] end [*] else if(key == 2)begin [*] x = 786 ; [*] end [*] else if(key == 3)begin [*] x = 1029 ; [*] end [*] else if(key == 4)begin [*] x = 1311 ; [*] end [*] else if(key == 5)begin [*] x = 1573 ; [*] end [*] else if(key == 6)begin [*] x = 1835 ; [*] end [*] else begin [*] x = 2097 ; [*] end [*]end [*]assign addr_temp = cnt1 * x ; [*]assign addr = addr_temp >> 10 ; [*] [*] [*]//A通道输出。 [*]always @(posedge clk or negedge rst_n)begin [*] if(rst_n==1'b0)begin [*] dac_dat_a <= 0 ; [*] end [*] else begin [*] dac_dat_a <= 255 - sin_data ; [*] end [*]end [*] [*]assign dac_sleep = 0 ; [*]assign dac_mode = 1 ; [*]assign dac_wra = dac_clka ; [*]assign dac_clka = ~clk ; [*] [*]//设计滤波器。 [*]always @(posedge clk or negedge rst_n)begin [*] if(!rst_n)begin [*] cnt0 <= 0; [*] end [*] else if(add_cnt0)begin [*] if(end_cnt0) [*] cnt0 <= 0; [*] else [*] cnt0 <= cnt0 + 1; [*] end [*]end [*] [*]assign add_cnt0 = 1 ; [*]assign end_cnt0 = add_cnt0 && cnt0== 4 - 1 ; [*]assign fir_din = sin_data - 128 ; [*]ip_fir_1 module_2( [*] .clk (clk ), [*] .reset_n (rst_n ), [*] .ast_sink_data (fir_din ), [*] .ast_sink_valid (end_cnt0 ), [*] .ast_sink_error (2'b00 ), [*] .ast_source_data (fir_dout ), [*] .ast_source_valid (fir_dout_vld ), [*] .ast_source_error ( ) [*] ); [*]assign fir_dout2 = fir_dout + 128 ; [*]always @(posedge clk or negedge rst_n)begin [*] if(rst_n==1'b0)begin [*] dac_dat_b <= 0 ; [*] end [*] else if(fir_dout_vld) begin [*] dac_dat_b <= 255 - fir_dout2 ; [*] end [*]end [*] [*]assign dac_wrb = dac_clkb ; [*]assign dac_clkb = ~clk ; [*]endmodule [/list] 4、IP核文件 ip_fir_1.v : [list=1] [*]`timescale 1 ps / 1 ps [*]module ip_fir_1 ( [*] input wire clk, // clk.clk [*] input wire reset_n, // rst.reset_n [*] input wire [7:0] ast_sink_data, // avalon_streaming_sink.data [*] input wire ast_sink_valid, // .valid [*] input wire [1:0] ast_sink_error, // .error [*] output wire [7:0] ast_source_data, // avalon_streaming_source.data [*] output wire ast_source_valid, // .valid [*] output wire [1:0] ast_source_error // .error [*] ); [*] [*] ip_fir_1_0002 ip_fir_1_inst ( [*] .clk (clk), // clk.clk [*] .reset_n (reset_n), // rst.reset_n [*] .ast_sink_data (ast_sink_data), // avalon_streaming_sink.data [*] .ast_sink_valid (ast_sink_valid), // .valid [*] .ast_sink_error (ast_sink_error), // .error [*] .ast_source_data (ast_source_data), // avalon_streaming_source.data [*] .ast_source_valid (ast_source_valid), // .valid [*] .ast_source_error (ast_source_error) // .error [*] ); [*] [*]endmodule [/list] 5、测试文件 test_fir.v : [list=1] [*]`timescale 1 ns/1 ns [*] [*]module test_fir(); [*] [*]//时钟和复位 [*]reg clk ; [*]reg rst_n; [*] [*]//uut的输入信号 [*]reg[7:0] key ; [*] [*]//uut的输出信号 [*]wire dac_mode ; [*]wire dac_sleep ; [*]wire dac_clka ; [*]wire [7:0] dac_dat_a ; [*]wire dac_wra ; [*]wire dac_clkb ; [*]wire [7:0] dac_dat_b ; [*]wire dac_wrb ; [*] [*] [*]//时钟周期，单位为ns，可在此修改时钟周期。 [*]parameter CYCLE = 200; [*] [*]//复位时间，此时表示复位3个时钟周期的时间。 [*]parameter RST_TIME = 3 ; [*] [*]//待测试的模块例化 [*]fir uut( [*] .clk (clk ), [*] .rst_n (rst_n ), [*] .key (key ), [*] .dac_mode (dac_mode ), [*] .dac_sleep (dac_sleep ), [*] .dac_clka (dac_clka ), [*] .dac_dat_a (dac_dat_a ), [*] .dac_wra (dac_wra ), [*] .dac_clkb (dac_clkb ), [*] .dac_dat_b (dac_dat_b ), [*] .dac_wrb (dac_wrb ) [*] [*]); [*] [*] [*]//生成本地时钟50M [*]initial begin [*] clk = 0; [*] forever [*] #(CYCLE/2) [*] clk=~clk; [*]end [*] [*]//产生复位信号 [*]initial begin [*] rst_n = 1; [*] #2; [*] rst_n = 0; [*] #(CYCLE*RST_TIME); [*] rst_n = 1; [*]end [*] [*]//输入信号key赋值方式 [*]initial begin [*] forever begin [*] #(10000*CYCLE); [*] //赋初值 [*] key = 0; [*] #(10000*CYCLE); [*] key = 1; [*] #(10000*CYCLE); [*] key = 2; [*] #(10000*CYCLE); [*] key = 3; [*] #(10000*CYCLE); [*] key = 4; [*] #(10000*CYCLE); [*] key = 5; [*] #(10000*CYCLE); [*] key = 6; [*] #(10000*CYCLE); [*] key = 7; [*]end [*]end [*]endmodule [/list] 6、quartus和modelsim联合仿真报错如下图： [attach]2152750[/attach] [attach]2152748[/attach] 恳请各位指正！！

[i=s] 本帖最后由 awbl 于 2023-8-26 17:40 编辑 [/i] [color=#444444][backcolor=rgb(255, 255, 255)][font=Tahoma, "]在跟着B站视频学习到FIR时，仿真遇到问题。[/font][/backcolor][/color] [color=#444444][backcolor=rgb(255, 255, 255)][font=Tahoma, "]1、quartus版本：Quartus (Quartus Prime 18.1) Lite Edition[/font][/backcolor][/color] [color=#444444][backcolor=rgb(255, 255, 255)][font=Tahoma, "]2、modelsim是从altera官网下载的pro 18.1 ,已经解锁。[/font][/backcolor][/color] [color=#444444][backcolor=rgb(255, 255, 255)][font=Tahoma, "]3、联合仿真时出现以下错误： [/font][/backcolor][/color][img=600,0]http://www.fpgabbs.cn/data/attachment/forum/202308/25/171117k153sus5p2i5js3l.png[/img] [align=left][font=Arial][float=right] [/float][/font][/align][color=#444444][backcolor=rgb(255, 255, 255)][/backcolor][/color][img=598,0]http://www.fpgabbs.cn/data/attachment/forum/202308/25/171117z64f68j1o6tf0jz6.png[/img][color=#444444][backcolor=rgb(255, 255, 255)][/backcolor][/color] [color=#444444][backcolor=rgb(255, 255, 255)][font=Tahoma, "]4、单独仿真时出现以下错误： [/font][/backcolor][/color][img=600,0]http://www.fpgabbs.cn/data/attachment/forum/202308/25/171142uglnnhinm9ph5mnm.png[/img] [color=#444444][backcolor=rgb(255, 255, 255)][font=Tahoma, "]诸位大佬指点迷经，感激不尽[/font][/backcolor][/color]{:cry:}

另外一个问题，瓶颈主要在哪些feature 或者性能指标上？

FPGA在汽车电子中的应用有哪些

在SOC设计中使用verilog，和FPGA为对象使用verilog，有什么区别？

FPGA设计的功耗都有什么

FPGA读取SD卡信息，SD卡初始化成功，可以相应读指令返回0x00，但是为什么没有数据？miso引脚返回0x00后，一直是高电平，没有0xFE令牌，也没有数据。请问是怎么回事？可以有偿，可加我QQ交流。

有没有给介绍一下FPGA芯片结构的啊

FPGA、DSP、ASIC的区别是什么

FPGA为什么可以帮助CPU加速

FPGA与单片机的区别是啥