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文档之家› 《信息论与编码》第5章习题解答
《信息论与编码》第5章习题解答
解出
由于 所以
1 − e−s 1 − e3 s 1 − e −2s u (1) = 1 − e 3s 1 p( x) = λ ( x ) u( x) u (0) = p * (0) + p * (1) e 2 s = p * (0) e s + p * (1) = 1 − e 3s 2(1 − e s ) 1 − e3 s 2(1 − e 2s )
π (2) = 3, σ ( 2) = 3, π (2) = 3, σ ( 2) = 3,
α α α β
π (3) = 1, σ ( 3) = 1, π (3) = 2, σ ( 3) = 2,
π ( 4) = 4 σ (4) = 4 π ( 4) = 1 σ (4) = 1
1 1 1 0
求 Dmin 和 Dmax 及信源的 R(D)。 [解]
Dmin = ∑ p( x) ⋅ C x = ∑ p( x)min d( x ,x ˆ ) ˆ
x x ˆ ∈X
x
Dmax
=0 = min p( x ) d( x , x ˆ ) ˆ∑
x ∈X x
3 = 4
显然失真矩阵和信源分布满足如下置换对称 ① ② 和 ③
0 1 2 3 4 5 6
α α α β ? β β
0
?
β
1 2 3
? ?
其中 平均失真 由于
α + β + γ = 1 , α , β , γ ∈ [0,1] 1 D = [ 2 β + 2 β + 12γ ] = β + 3γ 4 H ( X ) = 2 bit ˆ = 0) = H ( X | X ˆ= 1) = H ( X | X ˆ= 2) = H ( X | X ˆ = 3) = 0 H (X | X ˆ = 4) = H ( X | X ˆ= 5) = 1 bit H (X | X
[解] 见书上例题 5.3.3,其中失真矩阵满足置换对称
π (1) = 2, π ( 2) = 1, ρ (1) = 2, ρ ( 2) = 1, ρ (3) = 3
5.4 设信源为无记忆,等概分布,取值范围为{0,1,2,3},再生字符表为{0, 1, 2, 3, 4, 5, 6}。 失真函数为
D 3
于是
D 3 2 + ( 1 − D ) log( 1 − D ) + D log , 0 ≤ D < 3 4 R( D ) = 3 0 D≥ 4
5.2
X − 1 0 1 1 1 若某无记忆信源 = − , ,其失真矩阵为 = 1 1 1 ,接收符号 Xˆ p (x ) 2 2 3 3 3 1 2 D = 1 1 ,求信源的最大失真度和最小平均失真度。 2 1
0 1 ˆ d ( xi , x ) = 1 j 3 ∞
[解]
i= j i = 0,1且j = 4 i = 2,3且j = 5 j = 6, i为任意 其它
求率失真函数 R(D)。
Dmin = ∑ p( x)min d (x , x ˆ ) ˆ
x x ˆ ∈X
Dmax = min p( x ) d( x , x ˆ ) ˆ∑
β = D −3 γ ≥0 D −1 γ≥ 2
=
所以
(3 − D ) bit 2
( 2 − D) 0 ≤ D ≤ 1 R( D) = (3 − D) / 2 1 ≤ D ≤ 3 0 D>3
相应的率失真曲线为: R (D) 2 1 0 1 2 3 D
5
5.6
设某二元源
U u1 u2 0 2 = ,失真矩阵为 D = ,求 Dmin , Dmax 和 p(u ) 0.5 0.5 1 0
所以由定理 5.3.1,转移概率矩阵具有与失真矩阵相同的对称
α α β α α β α α
其中 β + 3α = 1 。设平均失真为 D,则
x,x ˆ
ˆ ˆ D = ∑ p (x ) p (x | x ) d ( x, x )
= 3α
1
因而 α = X 1 2。相应的转移概率图为如下所示 3 ˆ= 1) = P( X ˆ= 2) ^ 由于 P( X X
所以
R( D ) =
β =D − 3 γ ≥0 α =1− D +2γ ≥0 γ ≥0
β = D − 3γ ≥ 0 α = 1 − β − γ = 1 − D + 2γ ≥ 0 γ ≥0 min {2 − D + γ }
= ( 2 − D ) bit
当1 ≤ D ≤ 3 ,
所以
D α + β + γ = 1 β = D − 3γ ≥ 0 γ ≤ 3 β + 3γ = 0 ⇒ α = 2γ − D + 1 ≥ 0 ⇒ D −1 γ ≥0 γ ≥ α , β , γ ∈ [ 0,1] 2 R( D ) = min {2 − D + γ }
2 2 σ ;1 比特量化的平均失真为 π − 2 σ 2 。与高斯随机变量的失真率函数 π π
D = σ 2 ⋅ 2 −2R 比较,试说明为什么有这样的差异?
ˆ ˆ> 0 ,于是量化误差为 [解] 由对称性,1 比特最佳量化的再生电平设为 ± x ,x
π (1) = 2, π (2) = 3, π (3) = 4, π ( 4) = 1 σ (1) = 2, σ ( 2) = 3, σ ( 3) = 4, σ (4) = 1 π (1) = 2, σ (1) = 2, π (1) = 4, σ (1) = 4,
β α P= α α
6
解出:
p * ( 0) = p * (1) = λ ( 0) =
1 − 2e 2s + e 3s 2(1 − e 2 s )(1 − e s ) 1 − 2e s + e 3s 2(1 − e 2 s )(1 − e s )
2(1 − e s ) 1 − e 3s 2(1 − e 2 s ) λ (1) = 1 − e 3s 把 p * ( x ), p ( x), λ ( x) 代入率失真函数的参数表示式 Ds = ∑∑ λ ( x) ⋅ p( x) ⋅ p * ( x) ⋅ e sd (x ,xˆ) ⋅ d (x ,x ˆ )
ˆ = 6) = 2 bit H (X | X
所以 因此
ˆ = 0) = P ( X ˆ= 1) = P( X ˆ = 2) = P ( X ˆ= 3) = α P( X 4 ˆ = 4) = P ( X ˆ = 5) = β P( X 2 ˆ = 6) = γ P( X ˆ H (X | X ) = β + 2γ
上式二边乘 p ( x) ,并对 x 求和得到
p * (x ˆ ) = p * ( x) ∑ λ ( x )p (x )e sd (x ,xˆ)
所以
x∈X
∑ λ ( x ) p (x )e
x∈X
sd (x ,x ˆ )
ˆ = 1 , ∀x ∈ Xˆ
−1
ˆ 其中 λ ( x) = ∑ p * ( x )e sd (x ,xˆ) ˆ x ∈Xˆ 设 u ( x ) = λ ( x ) ⋅ p( x) ,则对本题参数 u (0) + u(1) ⋅ e s = 1 u (0) ⋅ e 2s + u(1) = 1
[解]
Dmin = ∑ p( x) min d (x , x ˆ ) ˆ
x x∈X ˆ
Dmax
=1 = min
x ˆ ∈Xˆ
ˆ ) ∑ p( x)d (x, x
x
4 4 = min , 3 3 4 = 3
2
5.3
已知信源 X 取值范围为{0, 1},再生字取值范围为{0, 1, 2},设信源输入符号为等概 0 ∞ 1 分布,失真函数 D = ,求信源率失真函数。 ∞ 0 1
所以转移概率矩阵具有与失真矩阵相同的置换对称。
α a1 a 2 a 3 β b1 γ a α a a β b γ 3 2 1 P= 1 a a α a b β γ 2 3 1 1 a a a α b β γ 3 2 1 1 ˆ ˆ 由于对于使失真 d ( xi , x j ) = ∞ 的 ( xi , xi ) ,相应的转移概率必须为零,即
《信息论与编码》第五章习题解答
5.1 X 0 一个四元对称信源 = 1 p (x ) 4 真矩阵为, 1 1 4 2 1 4 3 1 = {0, 1, 2, 3} ,其失 ,再生字符集为 Xˆ 4
0 1 D= 1 1
1 0 1 1
1 1 0 1
x ˆ ∈X x
= min{ ∞ , ∞ , ∞ , ∞,3}
=3 失真矩阵满足如下置换对称
π (0) = 2, π (1) = 3, π (2) = 0, π (3) = 1 ρ ( 0) = 2, ρ (1) = 3, ρ (2) = 0, ρ (3) = 1, ρ (4) = 5, ρ (5) = 4, ρ (6) = 6 π (0) = 1, π (1) = 0, π (2) = 3, π (3) = 2 ρ ( 0) = 1, ρ (1) = 0, ρ (2) = 3, ρ (3) = 2, ρ (4) = 4, ρ (5) = 5, ρ (6) = 6
x ˆ x
= λ ( 0) ⋅ p * (1) ⋅ e 2s + 0.5 ⋅ λ (1) ⋅ p * (0) ⋅ e s Rs = s ⋅ Ds + 0.5 ⋅ [log λ ( 0) + log λ (1)]
其中参数 s < 0 。