Why am I getting this error "not enough argument"

close all ;
m =512; % Total number of OFDM symbols
N =1024; % Length of each OFDM symbol
M =4; % Size of the Constellation ( M can be 4 , 8 , 16 , 32 , 64 , 128 , 256)

pilotFrequency =8 ; % Pilot Symbol insertion frequency
E =2; % Energy of each Pilot Symbol
Ncp =256 ; % Length of the Cyclic Prefix
%Tx = qammod ('M',M ) ; % Choosing the modulation format as M - ary Quadrature Amplitude Modulation (M- QAM )
%Rx = qamdemod ('M',M) ; % Fixing up the demodulation format at the receiving end as M - ary QAM
% ACO - OFDM Transmitter
Data = randi ([0,M-1] ,m , N ); % Generation of Random bits Matrix of size m by N
for k1 =1: m
    for m1 =1: N
        if mod ( m1 ,2) ==0 % Performing Modulo operation to extract the even subcarriers
            Data ( k1 , m1 ) =0; % Setting the Even Subcarriers to Zero
        end
    end
end
DataMod = qammod( Data , M);
%DataMod = modulate ( Tx , Data ) ; % Performing Data Modulation
DataMod_serialtoparallel = DataMod .'; % Performing Serial to Parallel Conversion
PLoc = 1: pilotFrequency :N ; % Fixing the location of Pilot carrires
DLoc = setxor (1: N , PLoc ) ; % Fixing the location of Data subcarriers
DataMod_serialtoparallel ( PLoc ,:) = E *DataMod_serialtoparallel ( PLoc ,:) ; % Inserting Pilot carriers
datamat = DataMod_serialtoparallel ; % Assigning the total data including the pilots to a variable called datamat
% Computation of Hermitian Symmetry Criteria
datamat (1 ,:) =0; % Assigning the First subcarrier to Zero
datamat (513 ,:) =0; % Assigning the Middle Subcarrier to Zero
datamat (514:1024 ,:) = flipud ( conj ( datamat (2:512 ,:) )) ; %Illustrating that only half of the subcarriers are exploited for data transmission as the remaining half are flipped omplex conjugate versions of the previous ones .

d_ifft = ifft (( datamat ) ) ; % Computation of IFFT operation
% Ensuring that only the positive portion of the signal is transmitted
for k2 =1: N
    for m2 =1: m
        if( d_ifft ( k2 , m2 ) <0)
            d_ifft ( k2 , m2 ) =0;
        end
    end
end

d_ifft_paralleltoserial = d_ifft .'; % Parallel to Serial Conversion
CP_part = d_ifft_paralleltoserial (: ,end - Ncp +1: end) ; % Addition of Cyclic Prefix
ACOOFDM_CP =[ CP_part d_ifft_paralleltoserial ]; % Transmissin of ACO - OFDM signal
% VLC Channel Modeling
theta = 70; %LED semi - angle
ml = - log10 (2) / log10 ( cos ( theta ) ) ; % Computation of Lambertian Mode Number
APD =0.01; % Area of the photodiode
lx =5; ly =5; lz =3; % Size of the Dimensions of the Indoor Room Environment
h =2.15;
[ XT , YT ]= meshgrid ([ - lx /4 lx /4] ,[ - ly /4 ly /4]) ;
Nx = lx *5; Ny = ly *5;
x = linspace ( - lx /2 , lx /2 , Nx ) ;
y = linspace ( - ly /2 , ly /2 , Ny ) ;
[ XR , YR ]= meshgrid (x , y ) ;

D1 = sqrt (( XR - XT (1 ,1) ) .^2+( YR - YT (1 ,1) ) .^2+ h ^2) ; D2 = sqrt (( XR - XT (2 ,2) ) .^2+( YR - YT (2 ,2) ) .^2+ h ^2) ;
cosphi_A1 = h ./ D1 ;
receiver_angle = acosd ( cosphi_A1 ) ;

H_A1 =3600*(( ml +1) * APD .* cosphi_A1 .^( ml +1) ./(2* pi .* D1.^2) +( ml +1) * APD .* cosphi_A1 .^( ml +1) ./(2* pi .^2* D1.^2* D2 .^2) ) ; % Computation of VLC channel Impulse Response taking into consideration Non Line of Sight ( NLOS ) Environment
H_A2 = H_A1./ norm ( H_A1 )

H_A2 = 25×25

0.0343 0.0396 0.0448 0.0497 0.0536 0.0561 0.0570 0.0561 0.0536 0.0497 0.0449 0.0396 0.0343 0.0293 0.0247 0.0207 0.0172 0.0142 0.0118 0.0098 0.0081 0.0067 0.0056 0.0047 0.0039 0.0396 0.0461 0.0528 0.0589 0.0639 0.0672 0.0684 0.0672 0.0639 0.0589 0.0528 0.0462 0.0396 0.0335 0.0279 0.0232 0.0191 0.0157 0.0129 0.0106 0.0087 0.0072 0.0060 0.0050 0.0041 0.0448 0.0528 0.0608 0.0684 0.0746 0.0788 0.0803 0.0788 0.0746 0.0684 0.0608 0.0528 0.0449 0.0376 0.0311 0.0255 0.0209 0.0170 0.0139 0.0113 0.0093 0.0076 0.0063 0.0052 0.0043 0.0497 0.0589 0.0684 0.0774 0.0849 0.0899 0.0917 0.0899 0.0849 0.0774 0.0684 0.0589 0.0497 0.0413 0.0339 0.0276 0.0224 0.0182 0.0148 0.0120 0.0098 0.0080 0.0066 0.0054 0.0045 0.0536 0.0639 0.0746 0.0849 0.0935 0.0993 0.1013 0.0993 0.0935 0.0849 0.0747 0.0639 0.0536 0.0442 0.0361 0.0293 0.0237 0.0191 0.0154 0.0125 0.0101 0.0083 0.0068 0.0056 0.0046 0.0561 0.0672 0.0788 0.0899 0.0993 0.1056 0.1078 0.1056 0.0993 0.0899 0.0788 0.0672 0.0562 0.0462 0.0376 0.0304 0.0244 0.0197 0.0158 0.0128 0.0104 0.0084 0.0069 0.0057 0.0047 0.0570 0.0684 0.0802 0.0917 0.1013 0.1078 0.1101 0.1078 0.1013 0.0917 0.0803 0.0684 0.0571 0.0469 0.0381 0.0307 0.0247 0.0199 0.0160 0.0129 0.0104 0.0085 0.0069 0.0057 0.0047 0.0561 0.0672 0.0788 0.0899 0.0993 0.1056 0.1078 0.1056 0.0993 0.0899 0.0788 0.0672 0.0562 0.0462 0.0376 0.0304 0.0244 0.0197 0.0158 0.0128 0.0104 0.0084 0.0069 0.0057 0.0047 0.0536 0.0639 0.0746 0.0849 0.0935 0.0993 0.1013 0.0993 0.0935 0.0849 0.0747 0.0639 0.0536 0.0442 0.0361 0.0293 0.0237 0.0191 0.0154 0.0125 0.0101 0.0083 0.0068 0.0056 0.0046 0.0497 0.0589 0.0684 0.0774 0.0849 0.0899 0.0917 0.0899 0.0849 0.0774 0.0684 0.0589 0.0497 0.0413 0.0339 0.0276 0.0224 0.0182 0.0148 0.0120 0.0098 0.0080 0.0066 0.0054 0.0045

d_channell = filter ( H_A2 (1 ,1:2) ,1 , ACOOFDM_CP .') .';
% Illustration of channel effect on the transmitted ACO - OFDM signal
count =0;
snr_vector =0:1:30; % size of signal to noise ratio (SNR ) vector
for snr = snr_vector
    SNR = snr + 10* log10 ( log2 (M ) ) ;
    count = count +1 ;
    ACOOFDM_with_chann = awgn(d_channell , SNR ,'measured') ; % Addition of AWGN
    % Receiver of ACO - OFDM
    ACOOFDM_removal_CP = ACOOFDM_with_chann (: , Ncp+1: N + Ncp );
    % Removal of Cyclic Prefix
    ACOOFDM_serialtoparallel = ACOOFDM_removal_CP .'; %Serial to Parallel Conversion
    ACOOFDM_parallel_fft = fft ( ACOOFDM_serialtoparallel) ; 
    % Computation of FFT operation 
    % Channel Estimation
    TransmittedPilots = DataMod_serialtoparallel ( PLoc,:) ; % Extracting the transmitted pilots
    ReceivedPilots = ACOOFDM_parallel_fft ( PLoc ,:) ; 
    %Extracting the received pilot tones effected by channel
    H_LS = ReceivedPilots ./ TransmittedPilots ; % Least Square Channel Estimation
    for r =1:m
        H_MMSE(: , r ) = MMSEesti(ReceivedPilots (: , r ) ,TransmittedPilots (: , r ), N, pilotFrequency, H_A2 (1 ,1:2), SNR);% Minimum Mean SquareError ( MMSE ) Channel Estimation
    end
    for q =1:m
        HData_LS(: , q ) = interpolate ( H_LS (: , q ) .', PLoc ,N ,'spline ') ; % Interpolation
    end
    HData_LS_parallel1 = HData_LS .'; % Parallel to Serial Conversion
    HData_MMSE_parallel1 = H_MMSE .';
    ACOOFDM_SERIAL_LS = demodulate ( Rx ,(ACOOFDM_parallel_fft .') ./ HData_LS_parallel1 ) ; % Demodulation
    ACOOFDM_SERIAL_MMSE = demodulate (Rx ,(ACOOFDM_parallel_fft .') ./( HData_MMSE_parallel1) ) ;
    
    % Recovery of Pilots from the Original Transmitted signal and Received Signal
    Data_no_pilots = Data (: , DLoc ) ;
    Recovered_Pilot_LS = ACOOFDM_SERIAL_LS (: , DLoc ) ;
    Recovered_Pilot_MMSE = ACOOFDM_SERIAL_MMSE (: , DLoc ) ;
    % Computation of Bit Error Rate
    [~ , recoveredLS( count ) ]= biterr ( Data_no_pilots(: ,2:255) , Recovered_Pilot_LS (: ,2:255) ) ;
    [~ , recoveredMMSE( count ) ]= biterr ( Data_no_pilots (: ,2:255) , Recovered_Pilot_MMSE (: ,2:255) ) ;
end

Not enough input arguments.

Error in solution>MMSEesti (line 120)
snr = 10.^(SNR*0.1); Np=Nfft/Nps; k=1:Np;

% Plotting the BER curves
semilogy ( snr_vector , recoveredLS ,'rd -','LineWidth ' ,2) ;
hold on ;
semilogy ( snr_vector , recoveredMMSE ,'gs -','LineWidth ',2) ;
axis ([0 30 10^ -4 1]) ;
grid on ;

function [H_MMSE] = MMSEesti(Y,Xp,pilot_loc,Nfft,Nps,h,SNR)
% MMSE channel estimation function
% Inputs:
% Y = Frequency-domain received signal
% Xp = Pilot signal
% pilot_loc = Pilot location
% Nfft = FFT size
% Nps = Pilot spacing
% h = Channel impulse response
% SNR = Signal-to-Noise Ratio[dB]
% output:
% H_MMSE = MMSE channel estimate
snr = 10.^(SNR*0.1); Np=Nfft/Nps; k=1:Np;
H_tilde = Y(1,pilot_loc(k))./Xp(k); % LS estimate Eq.(6.12) or (6.8)
k=0:length(h)-1; %k_ts = k*ts;
hh = h*h'; tmp = h.*conj(h).*k; %tmp = h.*conj(h).*k_ts;
r = sum(tmp)/hh; r2 = tmp*k.'/hh; %r2 = tmp*k_ts.’/hh;
tau_rms = sqrt(r2-r^2); % rms delay
df = 1/Nfft; %1/(ts*Nfft);
j2pi_tau_df = 1i*2*pi*tau_rms*df;
K1 = repmat([0:Nfft-1].',1,Np); K2 = repmat([0:Np-1],Nfft,1);
rf = 1./(1+j2pi_tau_df*Nps*(K1-K2)); % Eq.(6.17a)
K3 = repmat([0:Np-1].',1,Np); K4 = repmat([0:Np-1],Np,1);
rf2 = 1./(1+j2pi_tau_df*Nps*(K3-K4)); % Eq.(6.17a)
Rhp = rf;
Rpp = rf2 + eye(length(H_tilde),length(H_tilde))/snr; % Eq.(6.14)
H_MMSE = transpose(Rhp*inv(Rpp)*H_tilde.'); % MMSE estimate Eq.(6.15)

function [H_interpolated] = interpolate(H,pilot_loc,Nfft,method)
% Input: H = Channel estimate using pilot sequence
% pilot_loc = Location of pilot sequence
% Nfft = FFT size
% method = ’linear’/’spline’
% Output: H_interpolated = interpolated channel
if pilot_loc(1)>1
    slope = (H(2)-H_est(1))/(pilot_loc(2)-pilot_loc(1));
    H = [H(1)-slope*(pilot_loc(1)-1) H]; pilot_loc = [1 pilot_loc];
end
if pilot_loc(end) <Nfft
    slope = (H(end)-H(end-1))/(pilot_loc(end)-pilot_loc(end-1));
    H = [H H(end)+slope*(Nfft-pilot_loc(end))];
    pilot_loc = [pilot_loc Nfft];
end
if lower(method(1))=='l', H_interpolated=interp1(pilot_loc,H,[1:Nfft]);
else
    H_interpolated = interp1(pilot_loc,H,[1:Nfft],'spline');
end
end
end

Answer 1

[Chunru]

The number of input arguments is 6:

for r =1:m
    H_MMSE(: , r ) = MMSEesti(ReceivedPilots (: , r ), TransmittedPilots (: , r ), N, ...
        pilotFrequency, H_A2(1 ,1:2), SNR); % Minimum Mean SquareError ( MMSE ) Channel Estimation
end

But the function definition specifies 7 input arguments

function [H_MMSE] = MMSEesti(Y,Xp,pilot_loc,Nfft,Nps,h,SNR)