|
| 1 | +#ifndef __StateVariableFilter_h__ |
| 2 | +#define __StateVariableFilter_h__ |
| 3 | + |
| 4 | +/** |
| 5 | + * State Variable Filter based on Andy Simper's code: |
| 6 | + * @ref http://www.cytomic.com/files/dsp/SvfLinearTrapOptimised2.pdf |
| 7 | + */ |
| 8 | + |
| 9 | +class StateVariableFilter { |
| 10 | +public: |
| 11 | + |
| 12 | + void process(FloatArray input, FloatArray output){ |
| 13 | + size_t nFrames = input.getSize(); |
| 14 | + for(size_t s = 0; s < nFrames; s++){ |
| 15 | + const float v0 = input[s]; |
| 16 | + mV3 = v0 - mIc2eq; |
| 17 | + mV1 = m_a1 * mIc1eq + m_a2*mV3; |
| 18 | + mV2 = mIc2eq + m_a2 * mIc1eq + m_a3 * mV3; |
| 19 | + mIc1eq = 2. * mV1 - mIc1eq; |
| 20 | + mIc2eq = 2. * mV2 - mIc2eq; |
| 21 | + output[s] = m_m0 * v0 + m_m1 * mV1 + m_m2 * mV2; |
| 22 | + } |
| 23 | + } |
| 24 | + |
| 25 | + void reset() { |
| 26 | + mV1 = 0.; |
| 27 | + mV2 = 0.; |
| 28 | + mV3 = 0.; |
| 29 | + mIc1eq = 0.; |
| 30 | + mIc2eq = 0.; |
| 31 | + } |
| 32 | + |
| 33 | + void setLowPass(float freq, float q, float sampleRate){ |
| 34 | + setLowPass(freq/sampleRate, q); |
| 35 | + } |
| 36 | + |
| 37 | + void setLowPass(float fnorm, float q){ |
| 38 | + const float w = tanf(M_PI * fnorm); |
| 39 | + const float g = w; |
| 40 | + const float k = 1. / q; |
| 41 | + m_a1 = 1./(1. + g * (g + k)); |
| 42 | + m_a2 = g * m_a1; |
| 43 | + m_a3 = g * m_a2; |
| 44 | + m_m0 = 0; |
| 45 | + m_m1 = 0; |
| 46 | + m_m2 = 1.; |
| 47 | + } |
| 48 | + |
| 49 | + void setHighPass(float freq, float q, float sampleRate){ |
| 50 | + setHighPass(freq/sampleRate, q); |
| 51 | + } |
| 52 | + void setHighPass(float fnorm, float q){ |
| 53 | + const float w = tanf(M_PI * fnorm); |
| 54 | + const float g = w; |
| 55 | + const float k = 1. / q; |
| 56 | + m_a1 = 1./(1. + g * (g + k)); |
| 57 | + m_a2 = g * m_a1; |
| 58 | + m_a3 = g * m_a2; |
| 59 | + m_m0 = 1.; |
| 60 | + m_m1 = -k; |
| 61 | + m_m2 = -1.; |
| 62 | + } |
| 63 | + |
| 64 | + void setBandPass(float freq, float q, float sampleRate){ |
| 65 | + setBandPass(freq/sampleRate, q); |
| 66 | + } |
| 67 | + void setBandPass(float fnorm, float q){ |
| 68 | + const float w = tanf(M_PI * fnorm); |
| 69 | + const float g = w; |
| 70 | + const float k = 1. / q; |
| 71 | + m_a1 = 1./(1. + g * (g + k)); |
| 72 | + m_a2 = g * m_a1; |
| 73 | + m_a3 = g * m_a2; |
| 74 | + m_m0 = 0.; |
| 75 | + m_m1 = 1.; |
| 76 | + m_m2 = 0.; |
| 77 | + } |
| 78 | + |
| 79 | + void setNotch(float freq, float q, float sampleRate){ |
| 80 | + setNotch(freq/sampleRate, q); |
| 81 | + } |
| 82 | + void setNotch(float fnorm, float q){ |
| 83 | + const float w = tanf(M_PI * fnorm); |
| 84 | + const float g = w; |
| 85 | + const float k = 1. / q; |
| 86 | + m_a1 = 1./(1. + g * (g + k)); |
| 87 | + m_a2 = g * m_a1; |
| 88 | + m_a3 = g * m_a2; |
| 89 | + m_m0 = 1.; |
| 90 | + m_m1 = -k; |
| 91 | + m_m2 = 0.; |
| 92 | + } |
| 93 | + |
| 94 | + void setPeak(float freq, float q, float sampleRate){ |
| 95 | + setPeak(freq/sampleRate, q); |
| 96 | + } |
| 97 | + void setPeak(float fnorm, float q){ |
| 98 | + const float w = tanf(M_PI * fnorm); |
| 99 | + const float g = w; |
| 100 | + const float k = 1. / q; |
| 101 | + m_a1 = 1./(1. + g * (g + k)); |
| 102 | + m_a2 = g * m_a1; |
| 103 | + m_a3 = g * m_a2; |
| 104 | + m_m0 = 1.; |
| 105 | + m_m1 = -k; |
| 106 | + m_m2 = -2.; |
| 107 | + } |
| 108 | + |
| 109 | + void setBell(float freq, float q, float gain, float sampleRate){ |
| 110 | + setBell(freq/sampleRate, q, gain); |
| 111 | + } |
| 112 | + void setBell(float fnorm, float q, float gain){ |
| 113 | + const float w = tanf(M_PI * fnorm); |
| 114 | + const float A = exp10f(gain/40.); |
| 115 | + const float g = w; |
| 116 | + const float k = 1 / q; |
| 117 | + m_a1 = 1./(1. + g * (g + k)); |
| 118 | + m_a2 = g * m_a1; |
| 119 | + m_a3 = g * m_a2; |
| 120 | + m_m0 = 1.; |
| 121 | + m_m1 = k * (A * A - 1.); |
| 122 | + m_m2 = 0.; |
| 123 | + } |
| 124 | + |
| 125 | + void setLowShelf(float freq, float q, float gain, float sampleRate){ |
| 126 | + setLowShelf(freq/sampleRate, q, gain); |
| 127 | + } |
| 128 | + void setLowShelf(float fnorm, float q, float gain){ |
| 129 | + const float w = tanf(M_PI * fnorm); |
| 130 | + const float A = exp10f(gain/40.); |
| 131 | + const float g = w / sqrtf(A); |
| 132 | + const float k = 1. / q; |
| 133 | + m_a1 = 1./(1. + g * (g + k)); |
| 134 | + m_a2 = g * m_a1; |
| 135 | + m_a3 = g * m_a2; |
| 136 | + m_m0 = 1.; |
| 137 | + m_m1 = k * (A - 1.); |
| 138 | + m_m2 = (A * A - 1.); |
| 139 | + } |
| 140 | + |
| 141 | + void setHighShelf(float freq, float q, float gain, float sampleRate){ |
| 142 | + setHighShelf(freq/sampleRate, q, gain); |
| 143 | + } |
| 144 | + void setHighShelf(float fnorm, float q, float gain){ |
| 145 | + const float w = tanf(M_PI * fnorm); |
| 146 | + const float A = exp10f(gain/40.); |
| 147 | + const float g = w / sqrtf(A); |
| 148 | + const float k = 1. / q; |
| 149 | + m_a1 = 1./(1. + g * (g + k)); |
| 150 | + m_a2 = g * m_a1; |
| 151 | + m_a3 = g * m_a2; |
| 152 | + m_m0 = A*A; |
| 153 | + m_m1 = k*(1. - A)*A; |
| 154 | + m_m2 = (1. - A*A); |
| 155 | + } |
| 156 | + |
| 157 | +private: |
| 158 | + // state |
| 159 | + float mV1 = 0.; |
| 160 | + float mV2 = 0.; |
| 161 | + float mV3 = 0.; |
| 162 | + float mIc1eq = 0.; |
| 163 | + float mIc2eq = 0.; |
| 164 | + // coefficients |
| 165 | + float m_a1 = 0.; |
| 166 | + float m_a2 = 0.; |
| 167 | + float m_a3 = 0.; |
| 168 | + float m_m0 = 0.; |
| 169 | + float m_m1 = 0.; |
| 170 | + float m_m2 = 0.; |
| 171 | +}; |
| 172 | + |
| 173 | +#endif // __StateVariableFilter_h__ |
0 commit comments