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杂谈 |
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verilog语言中用来产生随机数的举例
moduleprobability; // probability distribution functions:
reg[23:0] r1,r2;
integerr3,r4,r5,r6,r7,r8,r9;
integerseed, start, \end , mean, standard_deviation;
integerdegree_of_freedom, k_stage;
initialbegin
seed=1;start=0; \end =90; mean=5;
standard_deviation=2;degree_of_freedom=2; k_stage=1; #1;
r1= $random % 60; // random -59 to 59
r2= {$random} % 60; // positive value 0-59
r3=$dist_uniform(seed, start, \end ) ;
r4=$dist_normal(seed, mean, standard_deviation) ;
r5=$dist_exponential(seed, mean) ;
r6=$dist_poisson(seed, mean) ;
r7=$dist_chi_square(seed, degree_of_freedom) ;
r8=$dist_t(seed, degree_of_freedom) ;
r9=$dist_erlang(seed, k_stage, mean) ;
end
initial#2 $display ("?",$time,,r1,,r2,,r3,,r4,,r5);
initialbegin #3; $display ("?",$time,,r6,,r7,,r8,,r9); end
endmodule
//result:
#2.000000 8 57 0 4 9
#3.000000 7 3 0 2
以上几个例子是用来产生随机数的系统任务指令,上面的例子中仅仅产生了9个不同概率分布的随机数,若是在时钟上升沿的控制下,则能够产生一组随机数。例如将程序改为如下的形式:
moduleprobability; // probability distribution functions:
reg[23:0] r1,r2;
regclk;
integerr3,r4,r5,r6,r7,r8,r9;
integerseed, start, \end , mean, standard_deviation;
integerdegree_of_freedom, k_stage;
initialbegin
seed=1;start=0; \end =90; mean=5;
standard_deviation=2;degree_of_freedom=2; k_stage=1; #1;
end
initialclk = 0;
always#5 clk = ~clk;
always@(posedgeclk)begin
r1= $random % 60; // random -59 to 59
r2= {$random} % 60; // positive value 0-59
r3=$dist_uniform(seed, start, \end ) ;
r4=$dist_normal(seed, mean, standard_deviation) ;
r5=$dist_exponential(seed, mean) ;
r6=$dist_poisson(seed, mean) ;
r7=$dist_chi_square(seed, degree_of_freedom) ;
r8=$dist_t(seed, degree_of_freedom) ;
r9=$dist_erlang(seed, k_stage, mean) ;
end
initial#2 $display ("?",$time,,r1,,r2,,r3,,r4,,r5);
initialbegin #3; $display ("?",$time,,r6,,r7,,r8,,r9); end
endmodule
程序运行后,经过Modelsim仿真得到的结果如下(产生的这种随机数可以用来在testbench中进行仿真使用):
verilog语言中用来产生随机数的举例
module
reg
integer
integer
integer
initial
seed=1;
standard_deviation=2;
r1
r2
r3=$dist_uniform
r4=$dist_normal
r5=$dist_exponential
r6=$dist_poisson
r7=$dist_chi_square
r8=$dist_t
r9=$dist_erlang
end
initial
initial
endmodule
//result
#
#
以上几个例子是用来产生随机数的系统任务指令,上面的例子中仅仅产生了9个不同概率分布的随机数,若是在时钟上升沿的控制下,则能够产生一组随机数。例如将程序改为如下的形式:
module
reg
reg
integer
integer
integer
initial
seed=1;
standard_deviation=2;
end
initial
always
always@(posedge
r1
r2
r3=$dist_uniform
r4=$dist_normal
r5=$dist_exponential
r6=$dist_poisson
r7=$dist_chi_square
r8=$dist_t
r9=$dist_erlang
end
initial
initial
endmodule
程序运行后,经过Modelsim仿真得到的结果如下(产生的这种随机数可以用来在testbench中进行仿真使用):
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